If you want the code to run natively, ... There are plenty of ways you can get hold of pre-trained TensorFlow Lite Model Files for your app. I recommend starting with the official TensorFlow site.

Google today announced TensorFlow Lite Model Maker, a tool that adapts state-of-the-art machine learning models to custom data sets using a technique known as transfer learning.It wraps machine ...

The basic idea of TensorFlow Lite is that you train a full-blown TensorFlow model and convert it to the TensorFlow Lite model format. Then you can use the converted file in your mobile application ...

Google has released the developer preview of TensorFlow Lite. The search giant designed TensorFlow Lite as a lightweight machine learning solution for ...

However, code written for earlier versions of TensorFlow must be rewritten—sometimes significantly—to take maximum advantage of new TensorFlow 2.0 features. A trained model can be used to ...

TensorFlow Lite (TFLite) was announced in 2017 and Google is now calling it “LiteRT” to reflect how it supports third-party models. TensorFlow Lite for mobile on-device AI has “grown beyond ...

A new multifunctional Edge AI camera offering night vision, motion detection, TensorFlow Lite support, no-code set up and open source design is now available to purchase from just $89 from the ...

For them there’s TensorFlow Lite, in which a model is created on a larger machine and exported to a microcontroller or ... (Basic 2). Without in-line assembly code! Plain C64 Basic alone ...

Google LLC today announced a new tool called TensorFlow Lite Model Maker, which uses a technique known as transfer learning to adapt machine learning models to custom data sets. TensorFlow Lite is ...

Google today released a tool that converts AI models produced for mobile devices using its TensorFlow Lite tool into Apple’s Core ML .mlmodel file format for use with iOS devices.